/*
 *      MP3 window subband -> subband filtering -> mdct routine
 *
 *      Copyright (c) 1999-2000 Takehiro Tominaga
 *
 *
 * This library is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2 of the License, or (at your option) any later version.
 *
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Library General Public License for more details.
 *
 * You should have received a copy of the GNU Library General Public
 * License along with this library; if not, write to the
 * Free Software Foundation, Inc., 59 Temple Place - Suite 330,
 * Boston, MA 02111-1307, USA.
 */
/*
 *         Special Thanks to Patrick De Smet for your advices.
 */

/* $Id: NewMDCT.java,v 1.11 2011/05/24 20:48:06 kenchis Exp $ */

package net.sourceforge.lame.mp3;

import java.util.Arrays;

public class NewMDCT {

  private static final float enwindow[] = {
      -4.77e-07f * 0.740951125354959f / 2.384e-06f,
      1.03951e-04f * 0.740951125354959f / 2.384e-06f,
      9.53674e-04f * 0.740951125354959f / 2.384e-06f,
      2.841473e-03f * 0.740951125354959f / 2.384e-06f,
      3.5758972e-02f * 0.740951125354959f / 2.384e-06f,
      3.401756e-03f * 0.740951125354959f / 2.384e-06f,
      9.83715e-04f * 0.740951125354959f / 2.384e-06f,
      9.9182e-05f * 0.740951125354959f / 2.384e-06f, /* 15 */
      1.2398e-05f * 0.740951125354959f / 2.384e-06f,
      1.91212e-04f * 0.740951125354959f / 2.384e-06f,
      2.283096e-03f * 0.740951125354959f / 2.384e-06f,
      1.6994476e-02f * 0.740951125354959f / 2.384e-06f,
      -1.8756866e-02f * 0.740951125354959f / 2.384e-06f,
      -2.630711e-03f * 0.740951125354959f / 2.384e-06f,
      -2.47478e-04f * 0.740951125354959f / 2.384e-06f,
      -1.4782e-05f * 0.740951125354959f / 2.384e-06f,
      9.063471690191471e-01f, 1.960342806591213e-01f,

      -4.77e-07f * 0.773010453362737f / 2.384e-06f,
      1.05858e-04f * 0.773010453362737f / 2.384e-06f,
      9.30786e-04f * 0.773010453362737f / 2.384e-06f,
      2.521515e-03f * 0.773010453362737f / 2.384e-06f,
      3.5694122e-02f * 0.773010453362737f / 2.384e-06f,
      3.643036e-03f * 0.773010453362737f / 2.384e-06f,
      9.91821e-04f * 0.773010453362737f / 2.384e-06f,
      9.6321e-05f * 0.773010453362737f / 2.384e-06f, /* 14 */
      1.1444e-05f * 0.773010453362737f / 2.384e-06f,
      1.65462e-04f * 0.773010453362737f / 2.384e-06f,
      2.110004e-03f * 0.773010453362737f / 2.384e-06f,
      1.6112804e-02f * 0.773010453362737f / 2.384e-06f,
      -1.9634247e-02f * 0.773010453362737f / 2.384e-06f,
      -2.803326e-03f * 0.773010453362737f / 2.384e-06f,
      -2.77042e-04f * 0.773010453362737f / 2.384e-06f,
      -1.6689e-05f * 0.773010453362737f / 2.384e-06f,
      8.206787908286602e-01f, 3.901806440322567e-01f,

      -4.77e-07f * 0.803207531480645f / 2.384e-06f,
      1.07288e-04f * 0.803207531480645f / 2.384e-06f,
      9.02653e-04f * 0.803207531480645f / 2.384e-06f,
      2.174854e-03f * 0.803207531480645f / 2.384e-06f,
      3.5586357e-02f * 0.803207531480645f / 2.384e-06f,
      3.858566e-03f * 0.803207531480645f / 2.384e-06f,
      9.95159e-04f * 0.803207531480645f / 2.384e-06f,
      9.3460e-05f * 0.803207531480645f / 2.384e-06f, /* 13 */
      1.0014e-05f * 0.803207531480645f / 2.384e-06f,
      1.40190e-04f * 0.803207531480645f / 2.384e-06f,
      1.937389e-03f * 0.803207531480645f / 2.384e-06f,
      1.5233517e-02f * 0.803207531480645f / 2.384e-06f,
      -2.0506859e-02f * 0.803207531480645f / 2.384e-06f,
      -2.974033e-03f * 0.803207531480645f / 2.384e-06f,
      -3.07560e-04f * 0.803207531480645f / 2.384e-06f,
      -1.8120e-05f * 0.803207531480645f / 2.384e-06f,
      7.416505462720353e-01f, 5.805693545089249e-01f,

      -4.77e-07f * 0.831469612302545f / 2.384e-06f,
      1.08242e-04f * 0.831469612302545f / 2.384e-06f,
      8.68797e-04f * 0.831469612302545f / 2.384e-06f,
      1.800537e-03f * 0.831469612302545f / 2.384e-06f,
      3.5435200e-02f * 0.831469612302545f / 2.384e-06f,
      4.049301e-03f * 0.831469612302545f / 2.384e-06f,
      9.94205e-04f * 0.831469612302545f / 2.384e-06f,
      9.0599e-05f * 0.831469612302545f / 2.384e-06f, /* 12 */
      9.060e-06f * 0.831469612302545f / 2.384e-06f,
      1.16348e-04f * 0.831469612302545f / 2.384e-06f,
      1.766682e-03f * 0.831469612302545f / 2.384e-06f,
      1.4358521e-02f * 0.831469612302545f / 2.384e-06f,
      -2.1372318e-02f * 0.831469612302545f / 2.384e-06f,
      -3.14188e-03f * 0.831469612302545f / 2.384e-06f,
      -3.39031e-04f * 0.831469612302545f / 2.384e-06f,
      -1.9550e-05f * 0.831469612302545f / 2.384e-06f,
      6.681786379192989e-01f, 7.653668647301797e-01f,

      -4.77e-07f * 0.857728610000272f / 2.384e-06f,
      1.08719e-04f * 0.857728610000272f / 2.384e-06f,
      8.29220e-04f * 0.857728610000272f / 2.384e-06f,
      1.399517e-03f * 0.857728610000272f / 2.384e-06f,
      3.5242081e-02f * 0.857728610000272f / 2.384e-06f,
      4.215240e-03f * 0.857728610000272f / 2.384e-06f,
      9.89437e-04f * 0.857728610000272f / 2.384e-06f,
      8.7261e-05f * 0.857728610000272f / 2.384e-06f, /* 11 */
      8.106e-06f * 0.857728610000272f / 2.384e-06f,
      9.3937e-05f * 0.857728610000272f / 2.384e-06f,
      1.597881e-03f * 0.857728610000272f / 2.384e-06f,
      1.3489246e-02f * 0.857728610000272f / 2.384e-06f,
      -2.2228718e-02f * 0.857728610000272f / 2.384e-06f,
      -3.306866e-03f * 0.857728610000272f / 2.384e-06f,
      -3.71456e-04f * 0.857728610000272f / 2.384e-06f,
      -2.1458e-05f * 0.857728610000272f / 2.384e-06f,
      5.993769336819237e-01f, 9.427934736519954e-01f,

      -4.77e-07f * 0.881921264348355f / 2.384e-06f,
      1.08719e-04f * 0.881921264348355f / 2.384e-06f,
      7.8392e-04f * 0.881921264348355f / 2.384e-06f,
      9.71317e-04f * 0.881921264348355f / 2.384e-06f,
      3.5007000e-02f * 0.881921264348355f / 2.384e-06f,
      4.357815e-03f * 0.881921264348355f / 2.384e-06f,
      9.80854e-04f * 0.881921264348355f / 2.384e-06f,
      8.3923e-05f * 0.881921264348355f / 2.384e-06f, /* 10 */
      7.629e-06f * 0.881921264348355f / 2.384e-06f,
      7.2956e-05f * 0.881921264348355f / 2.384e-06f,
      1.432419e-03f * 0.881921264348355f / 2.384e-06f,
      1.2627602e-02f * 0.881921264348355f / 2.384e-06f,
      -2.3074150e-02f * 0.881921264348355f / 2.384e-06f,
      -3.467083e-03f * 0.881921264348355f / 2.384e-06f,
      -4.04358e-04f * 0.881921264348355f / 2.384e-06f,
      -2.3365e-05f * 0.881921264348355f / 2.384e-06f,
      5.345111359507916e-01f, 1.111140466039205e+00f,

      -9.54e-07f * 0.903989293123443f / 2.384e-06f,
      1.08242e-04f * 0.903989293123443f / 2.384e-06f,
      7.31945e-04f * 0.903989293123443f / 2.384e-06f,
      5.15938e-04f * 0.903989293123443f / 2.384e-06f,
      3.4730434e-02f * 0.903989293123443f / 2.384e-06f,
      4.477024e-03f * 0.903989293123443f / 2.384e-06f,
      9.68933e-04f * 0.903989293123443f / 2.384e-06f,
      8.0585e-05f * 0.903989293123443f / 2.384e-06f, /* 9 */
      6.676e-06f * 0.903989293123443f / 2.384e-06f,
      5.2929e-05f * 0.903989293123443f / 2.384e-06f,
      1.269817e-03f * 0.903989293123443f / 2.384e-06f,
      1.1775017e-02f * 0.903989293123443f / 2.384e-06f,
      -2.3907185e-02f * 0.903989293123443f / 2.384e-06f,
      -3.622532e-03f * 0.903989293123443f / 2.384e-06f,
      -4.38213e-04f * 0.903989293123443f / 2.384e-06f,
      -2.5272e-05f * 0.903989293123443f / 2.384e-06f,
      4.729647758913199e-01f, 1.268786568327291e+00f,

      -9.54e-07f * 0.92387953251128675613f / 2.384e-06f,
      1.06812e-04f * 0.92387953251128675613f / 2.384e-06f,
      6.74248e-04f * 0.92387953251128675613f / 2.384e-06f,
      3.3379e-05f * 0.92387953251128675613f / 2.384e-06f,
      3.4412861e-02f * 0.92387953251128675613f / 2.384e-06f,
      4.573822e-03f * 0.92387953251128675613f / 2.384e-06f,
      9.54151e-04f * 0.92387953251128675613f / 2.384e-06f,
      7.6771e-05f * 0.92387953251128675613f / 2.384e-06f,
      6.199e-06f * 0.92387953251128675613f / 2.384e-06f,
      3.4332e-05f * 0.92387953251128675613f / 2.384e-06f,
      1.111031e-03f * 0.92387953251128675613f / 2.384e-06f,
      1.0933399e-02f * 0.92387953251128675613f / 2.384e-06f,
      -2.4725437e-02f * 0.92387953251128675613f / 2.384e-06f,
      -3.771782e-03f * 0.92387953251128675613f / 2.384e-06f,
      -4.72546e-04f * 0.92387953251128675613f / 2.384e-06f,
      -2.7657e-05f * 0.92387953251128675613f / 2.384e-06f,
      4.1421356237309504879e-01f, /* tan(PI/8) */
      1.414213562373095e+00f,

      -9.54e-07f * 0.941544065183021f / 2.384e-06f,
      1.05381e-04f * 0.941544065183021f / 2.384e-06f,
      6.10352e-04f * 0.941544065183021f / 2.384e-06f,
      -4.75883e-04f * 0.941544065183021f / 2.384e-06f,
      3.4055710e-02f * 0.941544065183021f / 2.384e-06f,
      4.649162e-03f * 0.941544065183021f / 2.384e-06f,
      9.35555e-04f * 0.941544065183021f / 2.384e-06f,
      7.3433e-05f * 0.941544065183021f / 2.384e-06f, /* 7 */
      5.245e-06f * 0.941544065183021f / 2.384e-06f,
      1.7166e-05f * 0.941544065183021f / 2.384e-06f,
      9.56535e-04f * 0.941544065183021f / 2.384e-06f,
      1.0103703e-02f * 0.941544065183021f / 2.384e-06f,
      -2.5527000e-02f * 0.941544065183021f / 2.384e-06f,
      -3.914356e-03f * 0.941544065183021f / 2.384e-06f,
      -5.07355e-04f * 0.941544065183021f / 2.384e-06f,
      -3.0041e-05f * 0.941544065183021f / 2.384e-06f,
      3.578057213145241e-01f, 1.546020906725474e+00f,

      -9.54e-07f * 0.956940335732209f / 2.384e-06f,
      1.02520e-04f * 0.956940335732209f / 2.384e-06f,
      5.39303e-04f * 0.956940335732209f / 2.384e-06f,
      -1.011848e-03f * 0.956940335732209f / 2.384e-06f,
      3.3659935e-02f * 0.956940335732209f / 2.384e-06f,
      4.703045e-03f * 0.956940335732209f / 2.384e-06f,
      9.15051e-04f * 0.956940335732209f / 2.384e-06f,
      7.0095e-05f * 0.956940335732209f / 2.384e-06f, /* 6 */
      4.768e-06f * 0.956940335732209f / 2.384e-06f,
      9.54e-07f * 0.956940335732209f / 2.384e-06f,
      8.06808e-04f * 0.956940335732209f / 2.384e-06f,
      9.287834e-03f * 0.956940335732209f / 2.384e-06f,
      -2.6310921e-02f * 0.956940335732209f / 2.384e-06f,
      -4.048824e-03f * 0.956940335732209f / 2.384e-06f,
      -5.42164e-04f * 0.956940335732209f / 2.384e-06f,
      -3.2425e-05f * 0.956940335732209f / 2.384e-06f,
      3.033466836073424e-01f, 1.662939224605090e+00f,

      -1.431e-06f * 0.970031253194544f / 2.384e-06f,
      9.9182e-05f * 0.970031253194544f / 2.384e-06f,
      4.62532e-04f * 0.970031253194544f / 2.384e-06f,
      -1.573563e-03f * 0.970031253194544f / 2.384e-06f,
      3.3225536e-02f * 0.970031253194544f / 2.384e-06f,
      4.737377e-03f * 0.970031253194544f / 2.384e-06f,
      8.91685e-04f * 0.970031253194544f / 2.384e-06f,
      6.6280e-05f * 0.970031253194544f / 2.384e-06f, /* 5 */
      4.292e-06f * 0.970031253194544f / 2.384e-06f,
      -1.3828e-05f * 0.970031253194544f / 2.384e-06f,
      6.61850e-04f * 0.970031253194544f / 2.384e-06f,
      8.487225e-03f * 0.970031253194544f / 2.384e-06f,
      -2.7073860e-02f * 0.970031253194544f / 2.384e-06f,
      -4.174709e-03f * 0.970031253194544f / 2.384e-06f,
      -5.76973e-04f * 0.970031253194544f / 2.384e-06f,
      -3.4809e-05f * 0.970031253194544f / 2.384e-06f,
      2.504869601913055e-01f, 1.763842528696710e+00f,

      -1.431e-06f * 0.98078528040323f / 2.384e-06f,
      9.5367e-05f * 0.98078528040323f / 2.384e-06f,
      3.78609e-04f * 0.98078528040323f / 2.384e-06f,
      -2.161503e-03f * 0.98078528040323f / 2.384e-06f,
      3.2754898e-02f * 0.98078528040323f / 2.384e-06f,
      4.752159e-03f * 0.98078528040323f / 2.384e-06f,
      8.66413e-04f * 0.98078528040323f / 2.384e-06f,
      6.2943e-05f * 0.98078528040323f / 2.384e-06f, /* 4 */
      3.815e-06f * 0.98078528040323f / 2.384e-06f,
      -2.718e-05f * 0.98078528040323f / 2.384e-06f,
      5.22137e-04f * 0.98078528040323f / 2.384e-06f,
      7.703304e-03f * 0.98078528040323f / 2.384e-06f,
      -2.7815342e-02f * 0.98078528040323f / 2.384e-06f,
      -4.290581e-03f * 0.98078528040323f / 2.384e-06f,
      -6.11782e-04f * 0.98078528040323f / 2.384e-06f,
      -3.7670e-05f * 0.98078528040323f / 2.384e-06f,
      1.989123673796580e-01f, 1.847759065022573e+00f,

      -1.907e-06f * 0.989176509964781f / 2.384e-06f,
      9.0122e-05f * 0.989176509964781f / 2.384e-06f,
      2.88486e-04f * 0.989176509964781f / 2.384e-06f,
      -2.774239e-03f * 0.989176509964781f / 2.384e-06f,
      3.2248020e-02f * 0.989176509964781f / 2.384e-06f,
      4.748821e-03f * 0.989176509964781f / 2.384e-06f,
      8.38757e-04f * 0.989176509964781f / 2.384e-06f,
      5.9605e-05f * 0.989176509964781f / 2.384e-06f, /* 3 */
      3.338e-06f * 0.989176509964781f / 2.384e-06f,
      -3.9577e-05f * 0.989176509964781f / 2.384e-06f,
      3.88145e-04f * 0.989176509964781f / 2.384e-06f,
      6.937027e-03f * 0.989176509964781f / 2.384e-06f,
      -2.8532982e-02f * 0.989176509964781f / 2.384e-06f,
      -4.395962e-03f * 0.989176509964781f / 2.384e-06f,
      -6.46591e-04f * 0.989176509964781f / 2.384e-06f,
      -4.0531e-05f * 0.989176509964781f / 2.384e-06f,
      1.483359875383474e-01f, 1.913880671464418e+00f,

      -1.907e-06f * 0.995184726672197f / 2.384e-06f,
      8.4400e-05f * 0.995184726672197f / 2.384e-06f,
      1.91689e-04f * 0.995184726672197f / 2.384e-06f,
      -3.411293e-03f * 0.995184726672197f / 2.384e-06f,
      3.1706810e-02f * 0.995184726672197f / 2.384e-06f,
      4.728317e-03f * 0.995184726672197f / 2.384e-06f,
      8.09669e-04f * 0.995184726672197f / 2.384e-06f,
      5.579e-05f * 0.995184726672197f / 2.384e-06f,
      3.338e-06f * 0.995184726672197f / 2.384e-06f,
      -5.0545e-05f * 0.995184726672197f / 2.384e-06f,
      2.59876e-04f * 0.995184726672197f / 2.384e-06f,
      6.189346e-03f * 0.995184726672197f / 2.384e-06f,
      -2.9224873e-02f * 0.995184726672197f / 2.384e-06f,
      -4.489899e-03f * 0.995184726672197f / 2.384e-06f,
      -6.80923e-04f * 0.995184726672197f / 2.384e-06f,
      -4.3392e-05f * 0.995184726672197f / 2.384e-06f,
      9.849140335716425e-02f, 1.961570560806461e+00f,

      -2.384e-06f * 0.998795456205172f / 2.384e-06f,
      7.7724e-05f * 0.998795456205172f / 2.384e-06f,
      8.8215e-05f * 0.998795456205172f / 2.384e-06f,
      -4.072189e-03f * 0.998795456205172f / 2.384e-06f,
      3.1132698e-02f * 0.998795456205172f / 2.384e-06f,
      4.691124e-03f * 0.998795456205172f / 2.384e-06f,
      7.79152e-04f * 0.998795456205172f / 2.384e-06f,
      5.2929e-05f * 0.998795456205172f / 2.384e-06f,
      2.861e-06f * 0.998795456205172f / 2.384e-06f,
      -6.0558e-05f * 0.998795456205172f / 2.384e-06f,
      1.37329e-04f * 0.998795456205172f / 2.384e-06f,
      5.462170e-03f * 0.998795456205172f / 2.384e-06f,
      -2.9890060e-02f * 0.998795456205172f / 2.384e-06f,
      -4.570484e-03f * 0.998795456205172f / 2.384e-06f,
      -7.14302e-04f * 0.998795456205172f / 2.384e-06f,
      -4.6253e-05f * 0.998795456205172f / 2.384e-06f,
      4.912684976946725e-02f, 1.990369453344394e+00f,

      3.5780907e-02f * Util.SQRT2 * 0.5f / 2.384e-06f,
      1.7876148e-02f * Util.SQRT2 * 0.5f / 2.384e-06f,
      3.134727e-03f * Util.SQRT2 * 0.5f / 2.384e-06f,
      2.457142e-03f * Util.SQRT2 * 0.5f / 2.384e-06f,
      9.71317e-04f * Util.SQRT2 * 0.5f / 2.384e-06f,
      2.18868e-04f * Util.SQRT2 * 0.5f / 2.384e-06f,
      1.01566e-04f * Util.SQRT2 * 0.5f / 2.384e-06f,
      1.3828e-05f * Util.SQRT2 * 0.5f / 2.384e-06f,

      3.0526638e-02f / 2.384e-06f, 4.638195e-03f / 2.384e-06f,
      7.47204e-04f / 2.384e-06f, 4.9591e-05f / 2.384e-06f,
      4.756451e-03f / 2.384e-06f, 2.1458e-05f / 2.384e-06f,
      -6.9618e-05f / 2.384e-06f, /* 2.384e-06/2.384e-06 */
  };

  private static final int NS = 12;
  private static final int NL = 36;

  private static final float win[][] = {
      {
          2.382191739347913e-13f,
          6.423305872147834e-13f,
          9.400849094049688e-13f,
          1.122435026096556e-12f,
          1.183840321267481e-12f,
          1.122435026096556e-12f,
          9.400849094049690e-13f,
          6.423305872147839e-13f,
          2.382191739347918e-13f,

          5.456116108943412e-12f,
          4.878985199565852e-12f,
          4.240448995017367e-12f,
          3.559909094758252e-12f,
          2.858043359288075e-12f,
          2.156177623817898e-12f,
          1.475637723558783e-12f,
          8.371015190102974e-13f,
          2.599706096327376e-13f,

          -5.456116108943412e-12f,
          -4.878985199565852e-12f,
          -4.240448995017367e-12f,
          -3.559909094758252e-12f,
          -2.858043359288076e-12f,
          -2.156177623817898e-12f,
          -1.475637723558783e-12f,
          -8.371015190102975e-13f,
          -2.599706096327376e-13f,

          -2.382191739347923e-13f,
          -6.423305872147843e-13f,
          -9.400849094049696e-13f,
          -1.122435026096556e-12f,
          -1.183840321267481e-12f,
          -1.122435026096556e-12f,
          -9.400849094049694e-13f,
          -6.423305872147840e-13f,
          -2.382191739347918e-13f,
      },
      {
          2.382191739347913e-13f,
          6.423305872147834e-13f,
          9.400849094049688e-13f,
          1.122435026096556e-12f,
          1.183840321267481e-12f,
          1.122435026096556e-12f,
          9.400849094049688e-13f,
          6.423305872147841e-13f,
          2.382191739347918e-13f,

          5.456116108943413e-12f,
          4.878985199565852e-12f,
          4.240448995017367e-12f,
          3.559909094758253e-12f,
          2.858043359288075e-12f,
          2.156177623817898e-12f,
          1.475637723558782e-12f,
          8.371015190102975e-13f,
          2.599706096327376e-13f,

          -5.461314069809755e-12f,
          -4.921085770524055e-12f,
          -4.343405037091838e-12f,
          -3.732668368707687e-12f,
          -3.093523840190885e-12f,
          -2.430835727329465e-12f,
          -1.734679010007751e-12f,
          -9.748253656609281e-13f,
          -2.797435120168326e-13f,

          0.000000000000000e+00f,
          0.000000000000000e+00f,
          0.000000000000000e+00f,
          0.000000000000000e+00f,
          0.000000000000000e+00f,
          0.000000000000000e+00f,
          -2.283748241799531e-13f,
          -4.037858874020686e-13f,
          -2.146547464825323e-13f,
      },
      {
          1.316524975873958e-01f, /* win[SHORT_TYPE] */
          4.142135623730950e-01f,
          7.673269879789602e-01f,

          1.091308501069271e+00f, /* tantab_l */
          1.303225372841206e+00f,
          1.569685577117490e+00f,
          1.920982126971166e+00f,
          2.414213562373094e+00f,
          3.171594802363212e+00f,
          4.510708503662055e+00f,
          7.595754112725146e+00f,
          2.290376554843115e+01f,

          0.98480775301220802032f, /* cx */
          0.64278760968653936292f,
          0.34202014332566882393f,
          0.93969262078590842791f,
          -0.17364817766693030343f,
          -0.76604444311897790243f,
          0.86602540378443870761f,
          0.500000000000000e+00f,

          -5.144957554275265e-01f, /* ca */
          -4.717319685649723e-01f,
          -3.133774542039019e-01f,
          -1.819131996109812e-01f,
          -9.457419252642064e-02f,
          -4.096558288530405e-02f,
          -1.419856857247115e-02f,
          -3.699974673760037e-03f,

          8.574929257125442e-01f, /* cs */
          8.817419973177052e-01f,
          9.496286491027329e-01f,
          9.833145924917901e-01f,
          9.955178160675857e-01f,
          9.991605581781475e-01f,
          9.998991952444470e-01f,
          9.999931550702802e-01f,
      },
      {
          0.000000000000000e+00f,
          0.000000000000000e+00f,
          0.000000000000000e+00f,
          0.000000000000000e+00f,
          0.000000000000000e+00f,
          0.000000000000000e+00f,
          2.283748241799531e-13f,
          4.037858874020686e-13f,
          2.146547464825323e-13f,

          5.461314069809755e-12f,
          4.921085770524055e-12f,
          4.343405037091838e-12f,
          3.732668368707687e-12f,
          3.093523840190885e-12f,
          2.430835727329466e-12f,
          1.734679010007751e-12f,
          9.748253656609281e-13f,
          2.797435120168326e-13f,

          -5.456116108943413e-12f,
          -4.878985199565852e-12f,
          -4.240448995017367e-12f,
          -3.559909094758253e-12f,
          -2.858043359288075e-12f,
          -2.156177623817898e-12f,
          -1.475637723558782e-12f,
          -8.371015190102975e-13f,
          -2.599706096327376e-13f,

          -2.382191739347913e-13f,
          -6.423305872147834e-13f,
          -9.400849094049688e-13f,
          -1.122435026096556e-12f,
          -1.183840321267481e-12f,
          -1.122435026096556e-12f,
          -9.400849094049688e-13f,
          -6.423305872147841e-13f,
          -2.382191739347918e-13f,
      }
  };

  private static final float tantab_l[] = win[Encoder.SHORT_TYPE];
  private static final float[] cx = win[Encoder.SHORT_TYPE];
  private static final float[] ca = win[Encoder.SHORT_TYPE];
  private static final float[] cs = win[Encoder.SHORT_TYPE];

  /**
   * new IDCT routine written by Takehiro TOMINAGA
   * <p/>
   * PURPOSE: Overlapping window on PCM samples<BR>
   * <p/>
   * SEMANTICS:<BR>
   * 32 16-bit pcm samples are scaled to fractional 2's complement and
   * concatenated to the end of the window buffer #x#. The updated window
   * buffer #x# is then windowed by the analysis window #c# to produce the
   * windowed sample #z#
   */
  private static final int order[] = {
      0, 1, 16, 17, 8, 9, 24, 25, 4, 5, 20, 21, 12, 13, 28, 29,
      2, 3, 18, 19, 10, 11, 26, 27, 6, 7, 22, 23, 14, 15, 30, 31
  };

  /**
   * returns sum_j=0^31 a[j]*cos(PI*j*(k+1/2)/32), 0<=k<32
   */
  private void window_subband(final float[] x1, int x1Pos, final float a[]) {
    int wp = 10;

    int x2 = x1Pos + 238 - 14 - 286;

    for (int i = -15; i < 0; i++) {
      float w, s, t;

      w = enwindow[wp + -10];
      s = x1[x2 + -224] * w;
      t = x1[x1Pos + 224] * w;
      w = enwindow[wp + -9];
      s += x1[x2 + -160] * w;
      t += x1[x1Pos + 160] * w;
      w = enwindow[wp + -8];
      s += x1[x2 + -96] * w;
      t += x1[x1Pos + 96] * w;
      w = enwindow[wp + -7];
      s += x1[x2 + -32] * w;
      t += x1[x1Pos + 32] * w;
      w = enwindow[wp + -6];
      s += x1[x2 + 32] * w;
      t += x1[x1Pos + -32] * w;
      w = enwindow[wp + -5];
      s += x1[x2 + 96] * w;
      t += x1[x1Pos + -96] * w;
      w = enwindow[wp + -4];
      s += x1[x2 + 160] * w;
      t += x1[x1Pos + -160] * w;
      w = enwindow[wp + -3];
      s += x1[x2 + 224] * w;
      t += x1[x1Pos + -224] * w;

      w = enwindow[wp + -2];
      s += x1[x1Pos + -256] * w;
      t -= x1[x2 + 256] * w;
      w = enwindow[wp + -1];
      s += x1[x1Pos + -192] * w;
      t -= x1[x2 + 192] * w;
      w = enwindow[wp + 0];
      s += x1[x1Pos + -128] * w;
      t -= x1[x2 + 128] * w;
      w = enwindow[wp + 1];
      s += x1[x1Pos + -64] * w;
      t -= x1[x2 + 64] * w;
      w = enwindow[wp + 2];
      s += x1[x1Pos + 0] * w;
      t -= x1[x2 + 0] * w;
      w = enwindow[wp + 3];
      s += x1[x1Pos + 64] * w;
      t -= x1[x2 + -64] * w;
      w = enwindow[wp + 4];
      s += x1[x1Pos + 128] * w;
      t -= x1[x2 + -128] * w;
      w = enwindow[wp + 5];
      s += x1[x1Pos + 192] * w;
      t -= x1[x2 + -192] * w;

			/*
       * this multiplyer could be removed, but it needs more 256 FLOAT
			 * data. thinking about the data cache performance, I think we
			 * should not use such a huge table. tt 2000/Oct/25
			 */
      s *= enwindow[wp + 6];
      w = t - s;
      a[30 + i * 2] = t + s;
      a[31 + i * 2] = enwindow[wp + 7] * w;
      wp += 18;
      x1Pos--;
      x2++;
    }
    {
      float s, t, u, v;
      t = x1[x1Pos + -16] * enwindow[wp + -10];
      s = x1[x1Pos + -32] * enwindow[wp + -2];
      t += (x1[x1Pos + -48] - x1[x1Pos + 16]) * enwindow[wp + -9];
      s += x1[x1Pos + -96] * enwindow[wp + -1];
      t += (x1[x1Pos + -80] + x1[x1Pos + 48]) * enwindow[wp + -8];
      s += x1[x1Pos + -160] * enwindow[wp + 0];
      t += (x1[x1Pos + -112] - x1[x1Pos + 80]) * enwindow[wp + -7];
      s += x1[x1Pos + -224] * enwindow[wp + 1];
      t += (x1[x1Pos + -144] + x1[x1Pos + 112]) * enwindow[wp + -6];
      s -= x1[x1Pos + 32] * enwindow[wp + 2];
      t += (x1[x1Pos + -176] - x1[x1Pos + 144]) * enwindow[wp + -5];
      s -= x1[x1Pos + 96] * enwindow[wp + 3];
      t += (x1[x1Pos + -208] + x1[x1Pos + 176]) * enwindow[wp + -4];
      s -= x1[x1Pos + 160] * enwindow[wp + 4];
      t += (x1[x1Pos + -240] - x1[x1Pos + 208]) * enwindow[wp + -3];
      s -= x1[x1Pos + 224];

      u = s - t;
      v = s + t;

      t = a[14];
      s = a[15] - t;

      a[31] = v + t; /* A0 */
      a[30] = u + s; /* A1 */
      a[15] = u - s; /* A2 */
      a[14] = v - t; /* A3 */
    }
    {
      float xr;
      xr = a[28] - a[0];
      a[0] += a[28];
      a[28] = xr * enwindow[wp + -2 * 18 + 7];
      xr = a[29] - a[1];
      a[1] += a[29];
      a[29] = xr * enwindow[wp + -2 * 18 + 7];

      xr = a[26] - a[2];
      a[2] += a[26];
      a[26] = xr * enwindow[wp + -4 * 18 + 7];
      xr = a[27] - a[3];
      a[3] += a[27];
      a[27] = xr * enwindow[wp + -4 * 18 + 7];

      xr = a[24] - a[4];
      a[4] += a[24];
      a[24] = xr * enwindow[wp + -6 * 18 + 7];
      xr = a[25] - a[5];
      a[5] += a[25];
      a[25] = xr * enwindow[wp + -6 * 18 + 7];

      xr = a[22] - a[6];
      a[6] += a[22];
      a[22] = xr * Util.SQRT2;
      xr = a[23] - a[7];
      a[7] += a[23];
      a[23] = xr * Util.SQRT2 - a[7];
      a[7] -= a[6];
      a[22] -= a[7];
      a[23] -= a[22];

      xr = a[6];
      a[6] = a[31] - xr;
      a[31] = a[31] + xr;
      xr = a[7];
      a[7] = a[30] - xr;
      a[30] = a[30] + xr;
      xr = a[22];
      a[22] = a[15] - xr;
      a[15] = a[15] + xr;
      xr = a[23];
      a[23] = a[14] - xr;
      a[14] = a[14] + xr;

      xr = a[20] - a[8];
      a[8] += a[20];
      a[20] = xr * enwindow[wp + -10 * 18 + 7];
      xr = a[21] - a[9];
      a[9] += a[21];
      a[21] = xr * enwindow[wp + -10 * 18 + 7];

      xr = a[18] - a[10];
      a[10] += a[18];
      a[18] = xr * enwindow[wp + -12 * 18 + 7];
      xr = a[19] - a[11];
      a[11] += a[19];
      a[19] = xr * enwindow[wp + -12 * 18 + 7];

      xr = a[16] - a[12];
      a[12] += a[16];
      a[16] = xr * enwindow[wp + -14 * 18 + 7];
      xr = a[17] - a[13];
      a[13] += a[17];
      a[17] = xr * enwindow[wp + -14 * 18 + 7];

      xr = -a[20] + a[24];
      a[20] += a[24];
      a[24] = xr * enwindow[wp + -12 * 18 + 7];
      xr = -a[21] + a[25];
      a[21] += a[25];
      a[25] = xr * enwindow[wp + -12 * 18 + 7];

      xr = a[4] - a[8];
      a[4] += a[8];
      a[8] = xr * enwindow[wp + -12 * 18 + 7];
      xr = a[5] - a[9];
      a[5] += a[9];
      a[9] = xr * enwindow[wp + -12 * 18 + 7];

      xr = a[0] - a[12];
      a[0] += a[12];
      a[12] = xr * enwindow[wp + -4 * 18 + 7];
      xr = a[1] - a[13];
      a[1] += a[13];
      a[13] = xr * enwindow[wp + -4 * 18 + 7];
      xr = a[16] - a[28];
      a[16] += a[28];
      a[28] = xr * enwindow[wp + -4 * 18 + 7];
      xr = -a[17] + a[29];
      a[17] += a[29];
      a[29] = xr * enwindow[wp + -4 * 18 + 7];

      xr = Util.SQRT2 * (a[2] - a[10]);
      a[2] += a[10];
      a[10] = xr;
      xr = Util.SQRT2 * (a[3] - a[11]);
      a[3] += a[11];
      a[11] = xr;
      xr = Util.SQRT2 * (-a[18] + a[26]);
      a[18] += a[26];
      a[26] = xr - a[18];
      xr = Util.SQRT2 * (-a[19] + a[27]);
      a[19] += a[27];
      a[27] = xr - a[19];

      xr = a[2];
      a[19] -= a[3];
      a[3] -= xr;
      a[2] = a[31] - xr;
      a[31] += xr;
      xr = a[3];
      a[11] -= a[19];
      a[18] -= xr;
      a[3] = a[30] - xr;
      a[30] += xr;
      xr = a[18];
      a[27] -= a[11];
      a[19] -= xr;
      a[18] = a[15] - xr;
      a[15] += xr;

      xr = a[19];
      a[10] -= xr;
      a[19] = a[14] - xr;
      a[14] += xr;
      xr = a[10];
      a[11] -= xr;
      a[10] = a[23] - xr;
      a[23] += xr;
      xr = a[11];
      a[26] -= xr;
      a[11] = a[22] - xr;
      a[22] += xr;
      xr = a[26];
      a[27] -= xr;
      a[26] = a[7] - xr;
      a[7] += xr;

      xr = a[27];
      a[27] = a[6] - xr;
      a[6] += xr;

      xr = Util.SQRT2 * (a[0] - a[4]);
      a[0] += a[4];
      a[4] = xr;
      xr = Util.SQRT2 * (a[1] - a[5]);
      a[1] += a[5];
      a[5] = xr;
      xr = Util.SQRT2 * (a[16] - a[20]);
      a[16] += a[20];
      a[20] = xr;
      xr = Util.SQRT2 * (a[17] - a[21]);
      a[17] += a[21];
      a[21] = xr;

      xr = -Util.SQRT2 * (a[8] - a[12]);
      a[8] += a[12];
      a[12] = xr - a[8];
      xr = -Util.SQRT2 * (a[9] - a[13]);
      a[9] += a[13];
      a[13] = xr - a[9];
      xr = -Util.SQRT2 * (a[25] - a[29]);
      a[25] += a[29];
      a[29] = xr - a[25];
      xr = -Util.SQRT2 * (a[24] + a[28]);
      a[24] -= a[28];
      a[28] = xr - a[24];

      xr = a[24] - a[16];
      a[24] = xr;
      xr = a[20] - xr;
      a[20] = xr;
      xr = a[28] - xr;
      a[28] = xr;

      xr = a[25] - a[17];
      a[25] = xr;
      xr = a[21] - xr;
      a[21] = xr;
      xr = a[29] - xr;
      a[29] = xr;

      xr = a[17] - a[1];
      a[17] = xr;
      xr = a[9] - xr;
      a[9] = xr;
      xr = a[25] - xr;
      a[25] = xr;
      xr = a[5] - xr;
      a[5] = xr;
      xr = a[21] - xr;
      a[21] = xr;
      xr = a[13] - xr;
      a[13] = xr;
      xr = a[29] - xr;
      a[29] = xr;

      xr = a[1] - a[0];
      a[1] = xr;
      xr = a[16] - xr;
      a[16] = xr;
      xr = a[17] - xr;
      a[17] = xr;
      xr = a[8] - xr;
      a[8] = xr;
      xr = a[9] - xr;
      a[9] = xr;
      xr = a[24] - xr;
      a[24] = xr;
      xr = a[25] - xr;
      a[25] = xr;
      xr = a[4] - xr;
      a[4] = xr;
      xr = a[5] - xr;
      a[5] = xr;
      xr = a[20] - xr;
      a[20] = xr;
      xr = a[21] - xr;
      a[21] = xr;
      xr = a[12] - xr;
      a[12] = xr;
      xr = a[13] - xr;
      a[13] = xr;
      xr = a[28] - xr;
      a[28] = xr;
      xr = a[29] - xr;
      a[29] = xr;

      xr = a[0];
      a[0] += a[31];
      a[31] -= xr;
      xr = a[1];
      a[1] += a[30];
      a[30] -= xr;
      xr = a[16];
      a[16] += a[15];
      a[15] -= xr;
      xr = a[17];
      a[17] += a[14];
      a[14] -= xr;
      xr = a[8];
      a[8] += a[23];
      a[23] -= xr;
      xr = a[9];
      a[9] += a[22];
      a[22] -= xr;
      xr = a[24];
      a[24] += a[7];
      a[7] -= xr;
      xr = a[25];
      a[25] += a[6];
      a[6] -= xr;
      xr = a[4];
      a[4] += a[27];
      a[27] -= xr;
      xr = a[5];
      a[5] += a[26];
      a[26] -= xr;
      xr = a[20];
      a[20] += a[11];
      a[11] -= xr;
      xr = a[21];
      a[21] += a[10];
      a[10] -= xr;
      xr = a[12];
      a[12] += a[19];
      a[19] -= xr;
      xr = a[13];
      a[13] += a[18];
      a[18] -= xr;
      xr = a[28];
      a[28] += a[3];
      a[3] -= xr;
      xr = a[29];
      a[29] += a[2];
      a[2] -= xr;
    }
  }

  /**
   * Function: Calculation of the MDCT In the case of long blocks (type 0,1,3)
   * there are 36 coefficents in the time domain and 18 in the frequency
   * domain.<BR>
   * In the case of short blocks (type 2) there are 3 transformations with
   * short length. This leads to 12 coefficents in the time and 6 in the
   * frequency domain. In this case the results are stored side by side in the
   * vector out[].
   * <p/>
   * New layer3
   */
  private void mdct_short(final float[] inout, int inoutPos) {
    for (int l = 0; l < 3; l++) {
      float tc0, tc1, tc2, ts0, ts1, ts2;

      ts0 = inout[inoutPos + 2 * 3] * win[Encoder.SHORT_TYPE][0]
          - inout[inoutPos + 5 * 3];
      tc0 = inout[inoutPos + 0 * 3] * win[Encoder.SHORT_TYPE][2]
          - inout[inoutPos + 3 * 3];
      tc1 = ts0 + tc0;
      tc2 = ts0 - tc0;

      ts0 = inout[inoutPos + 5 * 3] * win[Encoder.SHORT_TYPE][0]
          + inout[inoutPos + 2 * 3];
      tc0 = inout[inoutPos + 3 * 3] * win[Encoder.SHORT_TYPE][2]
          + inout[inoutPos + 0 * 3];
      ts1 = ts0 + tc0;
      ts2 = -ts0 + tc0;

      tc0 = (inout[inoutPos + 1 * 3] * win[Encoder.SHORT_TYPE][1] - inout[inoutPos + 4 * 3]) * 2.069978111953089e-11f;
			/*
			 * tritab_s [ 1 ]
			 */
      ts0 = (inout[inoutPos + 4 * 3] * win[Encoder.SHORT_TYPE][1] + inout[inoutPos + 1 * 3]) * 2.069978111953089e-11f;
			/*
			 * tritab_s [ 1 ]
			 */
      inout[inoutPos + 3 * 0] = tc1 * 1.907525191737280e-11f + tc0;
			/*
			 * tritab_s[ 2 ]
			 */
      inout[inoutPos + 3 * 5] = -ts1 * 1.907525191737280e-11f + ts0;
			/*
			 * tritab_s[0 ]
			 */
      tc2 = tc2 * 0.86602540378443870761f * 1.907525191737281e-11f;
			/*
			 * tritab_s[ 2]
			 */
      ts1 = ts1 * 0.5f * 1.907525191737281e-11f + ts0;
      inout[inoutPos + 3 * 1] = tc2 - ts1;
      inout[inoutPos + 3 * 2] = tc2 + ts1;

      tc1 = tc1 * 0.5f * 1.907525191737281e-11f - tc0;
      ts2 = ts2 * 0.86602540378443870761f * 1.907525191737281e-11f;
			/*
			 * tritab_s[ 0]
			 */
      inout[inoutPos + 3 * 3] = tc1 + ts2;
      inout[inoutPos + 3 * 4] = tc1 - ts2;

      inoutPos++;
    }
  }

  final void mdct_long(final float[] out, final int outPos, final float[] in) {
    float ct, st;
    {
      float tc1, tc2, tc3, tc4, ts5, ts6, ts7, ts8;
			/* 1,2, 5,6, 9,10, 13,14, 17 */
      tc1 = in[17] - in[9];
      tc3 = in[15] - in[11];
      tc4 = in[14] - in[12];
      ts5 = in[0] + in[8];
      ts6 = in[1] + in[7];
      ts7 = in[2] + in[6];
      ts8 = in[3] + in[5];

      out[outPos + 17] = (ts5 + ts7 - ts8) - (ts6 - in[4]);
      st = (ts5 + ts7 - ts8) * cx[12 + 7] + (ts6 - in[4]);
      ct = (tc1 - tc3 - tc4) * cx[12 + 6];
      out[outPos + 5] = ct + st;
      out[outPos + 6] = ct - st;

      tc2 = (in[16] - in[10]) * cx[12 + 6];
      ts6 = ts6 * cx[12 + 7] + in[4];
      ct = tc1 * cx[12 + 0] + tc2 + tc3 * cx[12 + 1] + tc4 * cx[12 + 2];
      st = -ts5 * cx[12 + 4] + ts6 - ts7 * cx[12 + 5] + ts8 * cx[12 + 3];
      out[outPos + 1] = ct + st;
      out[outPos + 2] = ct - st;

      ct = tc1 * cx[12 + 1] - tc2 - tc3 * cx[12 + 2] + tc4 * cx[12 + 0];
      st = -ts5 * cx[12 + 5] + ts6 - ts7 * cx[12 + 3] + ts8 * cx[12 + 4];
      out[outPos + 9] = ct + st;
      out[outPos + 10] = ct - st;

      ct = tc1 * cx[12 + 2] - tc2 + tc3 * cx[12 + 0] - tc4 * cx[12 + 1];
      st = ts5 * cx[12 + 3] - ts6 + ts7 * cx[12 + 4] - ts8 * cx[12 + 5];
      out[outPos + 13] = ct + st;
      out[outPos + 14] = ct - st;
    }
    {
      float ts1, ts2, ts3, ts4, tc5, tc6, tc7, tc8;

      ts1 = in[8] - in[0];
      ts3 = in[6] - in[2];
      ts4 = in[5] - in[3];
      tc5 = in[17] + in[9];
      tc6 = in[16] + in[10];
      tc7 = in[15] + in[11];
      tc8 = in[14] + in[12];

      out[outPos + 0] = (tc5 + tc7 + tc8) + (tc6 + in[13]);
      ct = (tc5 + tc7 + tc8) * cx[12 + 7] - (tc6 + in[13]);
      st = (ts1 - ts3 + ts4) * cx[12 + 6];
      out[outPos + 11] = ct + st;
      out[outPos + 12] = ct - st;

      ts2 = (in[7] - in[1]) * cx[12 + 6];
      tc6 = in[13] - tc6 * cx[12 + 7];
      ct = tc5 * cx[12 + 3] - tc6 + tc7 * cx[12 + 4] + tc8 * cx[12 + 5];
      st = ts1 * cx[12 + 2] + ts2 + ts3 * cx[12 + 0] + ts4 * cx[12 + 1];
      out[outPos + 3] = ct + st;
      out[outPos + 4] = ct - st;

      ct = -tc5 * cx[12 + 5] + tc6 - tc7 * cx[12 + 3] - tc8 * cx[12 + 4];
      st = ts1 * cx[12 + 1] + ts2 - ts3 * cx[12 + 2] - ts4 * cx[12 + 0];
      out[outPos + 7] = ct + st;
      out[outPos + 8] = ct - st;

      ct = -tc5 * cx[12 + 4] + tc6 - tc7 * cx[12 + 5] - tc8 * cx[12 + 3];
      st = ts1 * cx[12 + 0] - ts2 + ts3 * cx[12 + 1] - ts4 * cx[12 + 2];
      out[outPos + 15] = ct + st;
      out[outPos + 16] = ct - st;
    }
  }

  public final void mdct_sub48(final LameInternalFlags gfc, final float[] w0,
                               final float[] w1) {
    float[] wk = w0;
    int wkPos = 286;
		/* thinking cache performance, ch->gr loop is better than gr->ch loop */
    for (int ch = 0; ch < gfc.channels_out; ch++) {
      for (int gr = 0; gr < gfc.mode_gr; gr++) {
        int band;
        final GrInfo gi = (gfc.l3_side.tt[gr][ch]);
        float[] mdct_enc = gi.xr;
        int mdct_encPos = 0;
        float[][] samp = gfc.sb_sample[ch][1 - gr];
        int sampPos = 0;

        for (int k = 0; k < 18 / 2; k++) {
          window_subband(wk, wkPos, samp[sampPos]);
          window_subband(wk, wkPos + 32, samp[sampPos + 1]);
          sampPos += 2;
          wkPos += 64;
					/*
					 * Compensate for inversion in the analysis filter
					 */
          for (band = 1; band < 32; band += 2) {
            samp[sampPos - 1][band] *= -1;
          }
        }

				/*
				 * Perform imdct of 18 previous subband samples + 18 current
				 * subband samples
				 */
        for (band = 0; band < 32; band++, mdct_encPos += 18) {
          int type = gi.block_type;
          float[][] band0 = gfc.sb_sample[ch][gr];
          float[][] band1 = gfc.sb_sample[ch][1 - gr];
          if (gi.mixed_block_flag != 0 && band < 2)
            type = 0;
          if (gfc.amp_filter[band] < 1e-12) {
            Arrays.fill(mdct_enc, mdct_encPos + 0,
                mdct_encPos + 18, 0);
          } else {
            if (gfc.amp_filter[band] < 1.0) {
              for (int k = 0; k < 18; k++)
                band1[k][order[band]] *= gfc.amp_filter[band];
            }
            if (type == Encoder.SHORT_TYPE) {
              for (int k = -NS / 4; k < 0; k++) {
                float w = win[Encoder.SHORT_TYPE][k + 3];
                mdct_enc[mdct_encPos + k * 3 + 9] = band0[9 + k][order[band]]
                    * w - band0[8 - k][order[band]];
                mdct_enc[mdct_encPos + k * 3 + 18] = band0[14 - k][order[band]]
                    * w + band0[15 + k][order[band]];
                mdct_enc[mdct_encPos + k * 3 + 10] = band0[15 + k][order[band]]
                    * w - band0[14 - k][order[band]];
                mdct_enc[mdct_encPos + k * 3 + 19] = band1[2 - k][order[band]]
                    * w + band1[3 + k][order[band]];
                mdct_enc[mdct_encPos + k * 3 + 11] = band1[3 + k][order[band]]
                    * w - band1[2 - k][order[band]];
                mdct_enc[mdct_encPos + k * 3 + 20] = band1[8 - k][order[band]]
                    * w + band1[9 + k][order[band]];
              }
              mdct_short(mdct_enc, mdct_encPos);
            } else {
              float work[] = new float[18];
              for (int k = -NL / 4; k < 0; k++) {
                float a, b;
                a = win[type][k + 27]
                    * band1[k + 9][order[band]]
                    + win[type][k + 36]
                    * band1[8 - k][order[band]];
                b = win[type][k + 9]
                    * band0[k + 9][order[band]]
                    - win[type][k + 18]
                    * band0[8 - k][order[band]];
                work[k + 9] = a - b * tantab_l[3 + k + 9];
                work[k + 18] = a * tantab_l[3 + k + 9] + b;
              }

              mdct_long(mdct_enc, mdct_encPos, work);
            }
          }
					/*
					 * Perform aliasing reduction butterfly
					 */
          if (type != Encoder.SHORT_TYPE && band != 0) {
            for (int k = 7; k >= 0; --k) {
              float bu, bd;
              bu = mdct_enc[mdct_encPos + k] * ca[20 + k]
                  + mdct_enc[mdct_encPos + -1 - k]
                  * cs[28 + k];
              bd = mdct_enc[mdct_encPos + k] * cs[28 + k]
                  - mdct_enc[mdct_encPos + -1 - k]
                  * ca[20 + k];

              mdct_enc[mdct_encPos + -1 - k] = bu;
              mdct_enc[mdct_encPos + k] = bd;
            }
          }
        }
      }
      wk = w1;
      wkPos = 286;
      if (gfc.mode_gr == 1) {
        for (int i = 0; i < 18; i++) {
          System.arraycopy(gfc.sb_sample[ch][1][i], 0,
              gfc.sb_sample[ch][0][i], 0, 32);
        }
      }
    }
  }
}
